JobCubby JobCubby
Sign up
Inetum

Data Engineer | Data Warehouse & ETL

Inetum Lisbon, Portugal

IT Services and IT Consulting · 10,001+ employees

2 h ago Closes in 7d
data-engineer Senior (5-10 yrs) Full-time Portugal
Log in to apply, save this posting, or score it against your profile with AI.

About the role

Design, develop, and maintain scalable ETL/ELT data pipelines while ensuring data quality and performance. Collaborate with business and technical teams to implement robust data architectures and support end users with analytics tools.

What they look for

Data Engineering ETL/ELT SQL Python PySpark Data Warehouse Data Modeling CI/CD Data Integration Data Governance Data Quality Dataiku Tableau Apache NiFi Agile Scrum

Requirements

Requires a bachelor's degree in a relevant field and at least 5 years of professional experience as a Data Engineer. Candidates must possess strong proficiency in SQL, Python/PySpark, and experience with data integration frameworks.

Full description

Company Description

Inetum is a European leader in digital services, supporting organizations as they navigate continuous technological change. The company helps clients accelerate their digital transformation through a broad portfolio that includes consulting, application services, digital engineering, cloud, cybersecurity, platforms, and infrastructure services

Job Description

  • Design, develop, and maintain scalable and high-performance ETL/ELT data pipelines to support Data Warehouse and analytics platforms.
  • Build and optimize data integration processes, ensuring data quality, reliability, and performance.
  • Automate development and deployment workflows through CI/CD pipelines, managing releases across multiple environments.
  • Design and implement robust data models and architectures, following Data Engineering and Business Intelligence best practices.
  • Collaborate with business and technical teams to translate requirements into efficient data solutions.
  • Support and empower end users working with Dataiku and Tableau, promoting adoption and best practices.
  • Monitor, troubleshoot, and continuously improve data processing workflows and platform performance.
  • Provide technical leadership, mentoring, and knowledge sharing to junior team members and stakeholders.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Business Intelligence, or a related field.
  • 5+ years of professional experience as a Data Engineer.
  • Strong hands-on experience with ETL/ELT frameworks and data integration tools (e.g., Alteryx, Talend).
  • Advanced proficiency in SQL for data extraction, transformation, and optimization.
  • Strong programming skills in Python and/or PySpark.
  • Experience designing and maintaining Data Warehouse solutions and data architectures.
  • Solid understanding of data governance, data quality, and performance optimization principles.

Nice to Have

  • Experience with Apache NiFi, Dataiku, and/or Tableau.
  • Previous experience within the banking or financial services sector.
  • Knowledge of Credit Risk, Risk Management, or Regulatory Reporting.
  • Familiarity with Agile methodologies, Scrum practices, and tools such as JIRA.
  • Good working knowledge of Microsoft Office Suite (Excel, PowerPoint, Word, Outlook).
  • Experience working in international and multicultural environments.

Languages

  • English: Professional/Fluent level (mandatory)
  • French: Basic knowledge
  • Portuguese: Basic knowledge

Additional Information

We are looking for a proactive and detail-oriented Data Engineer with strong technical expertise in data integration, ETL/ELT development, and Data Warehousing. The ideal candidate combines excellent analytical and problem-solving skills with the ability to collaborate effectively across business and technical teams, while contributing to continuous improvement initiatives and mentoring less experienced colleagues.

Similar roles